Now? Since completing the course they’ve: shipped RAG-powered features to production (many of which I reshared on LinkedIn), earned promotions into AI-focused roles, and built portfolio projects that opened doors to new opportunities.
CODE
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Implementing LLMs: Guide for Python Developers and Students
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These are folks who started where you are—programmers and students with Python skills but unsure how to best implement LLMs in their applications.
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Developing and Deploying LLM Applications: Comprehensive Learning Guide
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“Covers an immense amount of information…I learned a ton about developing and deploying LLM applications.” — Martin Ballard (Software Engineer)
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Best Course to Learn Up-to-Date RAG Techniques
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“Best course I found to learn up-to-date RAG techniques.” — Patrick Drechsler (Data Scientist)
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Comprehensive LLM Engineering Guide Praised for Clarity
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“Amazed at the thoroughness and clarity…covers the whole spectrum of LLM engineering end-to-end.” — Carlo Casorzo (AI Engineer)
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Exceptional Resource for Mastering LLM Development
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“An exceptional resource…provides a clear, structured, and engaging pathway to mastering LLM development.” — Shashank Nainwal (Data Scientist)
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LLM Developer Path: Building Practical Applications
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“From zero to hero as an LLM Developer…a clear path to build practical applications.” — Luca Tanieli (Software Developer)
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RAG Pipeline Building and Assessment Course Praised
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“Insightful, practical and very thorough…the course greatly expanded my knowledge of building and assessing RAG pipelines.” — Eoin McGrath (Machine-Learning Engineer)
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Becoming an LLM Developer: Student Testimonials and Career Path
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Thinking about becoming an LLM Developer? Here’s what our past students say…
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Gemini 2.5 Pro Update Fixes Function Calling Issues
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Worth noting that today's Gemini 2.5 Pro update also fixes a number of issues people have noticed with function calling in the 03-25 initial release.